Analyzing and improving AI-generated content in electrical and electronic engineering domains
Evaluating model responses for accuracy in areas such as analog/digital circuits, control systems, communications, and microelectronics
Annotating and curating training data for electrical engineering-related LLM outputs
Collaborating with technical teams to identify gaps, inaccuracies, or misleading content
Applying engineering judgment to ensure high-quality, consistent model outputs
Variable time commitments as a remote contract role
Requirements
PhD or MS in Electrical Engineering (or a related field) OR 3+ years of professional experience as an Electrical Engineer, Embedded Systems Engineer, or similar
Deep understanding of electrical engineering principles, system design, and signal analysis
Ability to assess complex technical material and provide constructive feedback
Strong written communication skills, especially when explaining technical concepts clearly
Independent, detail-oriented, and confident in making decisions
Experience with simulation tools (e.g., SPICE), PCB design, or FPGA programming (extra credit)
Familiarity with control theory, power electronics, or IoT systems (extra credit)
Prior teaching, tutoring, or curriculum development in electrical engineering (extra credit)
Exposure to LLMs or AI-based educational tools (extra credit)
Participation in model evaluation or annotation workflows (extra credit)
Personal device supporting Windows 10 or macOS Big Sur 11.0+
Reliable access to a smartphone
Must be located in the United States (no visa sponsorship available)
Not hiring candidates based in Wyoming or Illinois
Flexibility for some evening and weekend availability